Not long ago, generative adversarial networks (GANs [1]}) ruled the field of generative models, with seminal works like StyleGAN [2]}, [3]}, [4]}, BigGAN [5]} etc. [6]}, [7]}.
Diffusion models (DMs) [8]}, [9]}, [10]} have gained the lead in the last years, surpassing GANs by image quality and diversity [11]} and becoming the leading method in many vision tasks like text-to-image generation, superresolution and many more [12]}, [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]} (see surveys [20]}, [21]}). Recent works also demonstrate the effectiveness of DMs for video and text-to-video generation [22]}, [23]}, [24]}, [25]}.
